Evidence map›Paper›PMID 41820622›Full record

ReviewFunctional & integrative genomics2026

Gene-sized editing for the therapy of genetic diseases.

Teodor Padureanu, Relu Cocoș, Irina-Mihaela Matache, Octavian Bucur

Abstract readReview
In one paragraph

Review in Functional & integrative genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Teodor PadureanuGenomics Research and Development Institute, Bucharest, Romania.
Relu CocoșGenomics Research and Development Institute, Bucharest, Romania. relu.cocos@umfcd.ro.
Irina-Mihaela MatacheFaculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania.
Octavian BucurGenomics Research and Development Institute, Bucharest, Romania. octavian.bucur@genomica.gov.ro.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Programmable genome editing technologies have reshaped the landscape of biomedical sciences, enabling the development of methods with great translational potential. CRISPR-Cas represents one of the most important and widely adopted genome editing tools, although its reliance on double-stranded DNA breaks implies inherent limitations on the precision and safety of genomic insertions. Thus, several research groups have focused on the development of new editing technologies, among which prime editing has emerged as a cutting-edge system. Ongoing advancements in prime editing, including protein engineering, have enhanced its efficiency and expanded its functionality. However, prime editing cannot achieve integration of large DNA sequences larger than 5 kilobases. To overcome this limitation, PASTE and PASSIGE methods were developed as novel genome editing methods that merge precise genome rewriting with efficient recombinase-mediated gene insertion. In this review, we investigate the mechanistic principles of these systems, compare their performance in cellular and animal models, and discuss the ongoing efforts to enhance system components and delivery. We extended our investigation to recent progress supporting their translational potential, assessing efficient delivery methods, genome site specificity, safety, and long-term efficacy, which are crucial for successful in vivo applications.

Indexed as

CRISPR-Cas SystemsGene EditingGenetic Diseases, InbornGenetic TherapyAnimalsHumansCRISPR-Cas9Gene-sized editingPASSIGEPASTEPrime editingTwin prime editing

Identifiers

PMID41820622
PMCPMC12982285

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.